Overview:
This course is all about Machine Learning and its applications in the real world. The course is specially
designed in an applied way. Besides understanding the fundamentals of Machine Learning, you will get
your hands dirty by applying the algorithms on real world scenarios using the open source and most
recommended programming language, Python.
Certification:
A certificate in Machine Learning to prove your competency
Learning Outcomes:
• Learning with hands-on experience
• 16 Sessions of 1.5 hours each (8 Theory Sessions + 8 Practice Sessions)
• Best for university students, research scholars, computer geeks, free lancers, professionals who
want to dive in Machine Learning
• Information packed practical training starting from basics to intermediate-level techniques
• Practical learning experience with real world projects and examples
Prerequisites:
• Basic knowledge of any programming language is a must
Curriculum:
• Fundamentals of Machine Learning and its applications
• Supervised vs Unsupervised learning
• Python basics for Machine Learning including numpy, matplotlib, scikit learn, etc
• Model building, evaluation, cross-validation
• K-nearest neighbors for classification
• Decision Trees
• Naïve Bayes Classifier
• Support Vector Machines
• Linear Regression
• Logistic Regression
• Neural Networks
Instructor:
Dr. Umar
